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Books > Social sciences > Psychology > Psychological methodology > General
This pioneering monograph examines how culture informs popular understandings and experiences of mental health in East Asia, as well as providing resolutions for the future. Questions about mental health problems have gained new urgency as their consequences are growing more visible in East Asia. Yet, our understanding, funding, and evidence has not kept pace. Anson Au explores the social and psychological concepts, and network structures that make up the blueprint of East Asian cultures and untangles their myriad of influences on how people think, feel, and trust with respect to mental health experiences. Chapters explore themes such as cultural beliefs about mental health, the role of social support and social media, and mental health stigma. Drawing on the latest quantitative evidence, network science, and novel qualitative data, this book paints a portrait of mental health in the region and articulates culturally sensitive policies and practices tailored for East Asian cultures that improve mental health experiences.
This book is a valuable historical record of how counselling psychologists responded to the COVID-19 pandemic around the globe. Volume II presents 17 chapters that address four major topic areas. In the first, the chapters focus on training and supervision: during the pandemic, most on-site training and supervision had to be discontinued to prevent spread of the virus. However, many trainers and training programs found creative ways to continue to provide training opportunities to their trainees. The second focus is on the populations who may require specialty care during times of such upheaval, such as those with psychosis and serious mental illness. In the third part, the chapters speak to the pandemic across cultures, as well as its effects on clients from underrepresented groups. Finally, three chapters present research perspectives on the pandemic. Written by prominent researchers and clinicians in the field of counselling and psychotherapy, both the volumes together cover a wide range of perspectives and offer useful clinical recommendations related to effective telepsychotherapy practice. The chapters in these volumes were originally published as a special issue of Counselling Psychology Quarterly.
In the eleventh edition of Understanding Research Methods: An Overview of the Essentials, Newhart and Patten leverage the principles of learning and content design to present the fundamentals students need to get started in research. Basics of quantitative and qualitative research are covered in short, independent topics and grouped into meaningful sections. A perennial bestseller for over ten editions, Understanding Research Methods focuses concisely on key concepts, and lessons in topics that are "chunked" to suit today's students. Each topic ends with suggestions for planning a research project by answering topic-specific prompts in a research planning journal. Topic Review exercises encourage active learning. Finally, Topics for Discussion suggest open-ended prompts that could serve as conversation starters in the classroom or online. The final Part of the book offers guidance and activities specific to writing a research report. This section can be used to support the development of project-based assignments for courses, or it can be used independently to support senior thesis projects, master's theses, dissertations, or articles for publication. Instructors, will appreciate the organization of Understanding Research Methods because it allows a great deal of customization and choice in which topics to cover and in what order to cover them, making it suitable for methodological training in a variety of courses and fields of study. Online digital materials support course development. New to this edition: Part introductions now include a part table of contents and list of keywords Newly expanded coverage of qualitative research New coverage on designing quantitative research Expanded material on sampling More simple graphs, charts, and illustrations emphasize and visualize Topic key points
Written for social science scholars who want to learn more about
the qualitative way of thinking, this book addresses the full
continuum of issues about the qualitative methodologies. At one end
of that continuum are the deeply philosophical concerns of ontology
and epistemology. At the other -- concrete -- end of that continuum
are the practical issues of what is considered evidence: How does
one go about gathering evidence? Where, when, and how does one
analyze evidence? What are the alternative ways of dealing with
tone and voice in writing qualitative research? The attention to
practical, concrete issues makes this book useful as a handbook
providing a great deal of vital information to scholars who want a
guide to making decisions as they navigate their research questions
through the qualitative realm.
With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large and complex datasets. This has led to new ways of tabulating and analysing tabulated data with the same precision and power as that of an analysis of the full data set. Tabulation also makes it possible to share sensitive data with others without violating integrity. The new edition extends on the content of the first by both improving on already given methods and introducing new methods. There are two new chapters, Explanatory Variables and Regression, and Register- Based Survival Data Models. The book has been restructured to improve the flow, and there are significant updates to the computing in the supporting R package. Features * Introduction to survival and event history analysis and how to solve problems with incomplete data using Cox regression. * Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, and Gompertz distributions. * Parametric accelerated failure time models with the Lognormal, Loglogistic, Gompertz, Exponential, Extreme Value, and Weibull distributions. * Proportional hazards models for occurrence/exposure data, useful with tabular and register based data, often with a huge amount of observed events. * Special treatments of external communal covariates, selections from the Lexis diagram, and creating period as well as cohort statistics. * "Weird bootstrap" sampling suitable for Cox regression with small to medium-sized data sets. * Supported by an R package (https://CRAN.R-project.org/package=eha), including code and data for most examples in the book. * A dedicated home page for the book at http://ehar.se/r/ehar2 This substantial update to this popular book remains an excellent resource for researchers and practitioners of applied event history analysis and survival analysis. It can be used as a text for a course for graduate students or for self-study.
Designed for professionals and graduate students in the
personality/social, military, and educational psychology, and
assessment/evaluation communities, this volume explores the state
of the art in motivational research for individuals and teams from
multiple theoretical viewpoints as well as their effects in both
schools and training environments.
Tackles a topic in a concise and accessible way that most believe too advanced to pick up easily. Author has over 40 years teaching and industry experience which they utilize in this book. Contains an appendix with extended code and examples of topics discussed in text.
This text focuses on the experimental methods and the associated
terminology encountered in the research literature of psychology.
Initially, the content is kept simple, so as not to distract from
the information on research technique and philosophy. Interesting
psychological questions from well researched areas are then
examined in detail, permitting a fuller discussion of the problems
encountered in specific paradigms. It is in this fashion that the
book offers both methods and content.
A useful handbook, this text presents guidelines frequently followed by writers of reports of empirical research designed for publication in scientific business journals. The guidelines describe the types of information that should be included, how this information should be expressed, and where various types of information should be placed within a report. Excerpts from journal articles are used to illustrate most of the guidelines. At the end of each chapter, there are questions for classroom discussion.
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented, followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges. Robert Haining is Emeritus Professor in Human Geography, University of Cambridge, England. He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice (2003). He is a Fellow of the RGS-IBG and of the Academy of Social Sciences. Guangquan Li is Senior Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, England. His research includes the development and application of Bayesian methods in the social and health sciences. He is a Fellow of the Royal Statistical Society.
This book offers different theoretical approaches about what clinical research is. Clinical Research in Psychoanalysis is a unique contribution to the attempts to bridge the gap between clinicians and researchers and to create a culture of a more rigorous and systematic inquiry. It provides an innovative experience because for the first time different methods and perspectives were used to analyse one same clinical material. This was done by analysts from different working parties of the International Psychoanalytical Association (IPA), from a range of different schools of psychoanalytic thought. This allows the reader to have a vision of the different methods that are currently being used by some working parties of the IPA and to learn about the strengths of each one for certain situations and types of research. This book revaluates clinical research, intending to make links between the analysts working through the working parties and the different ways of thinking in clinical research. By covering key topics, such as how working parties can facilitate different types of research; the place of metaphor in psychoanalytic research and practice; and the future for psychoanalytic research, this text is a fruitful dialogue between different theoretical conceptions and between clinicians and researchers, that will expand our perspectives on the evidence we find in clinical material and will broaden our views on the patient. This book offers a unique and invaluable experience to psychologists and psychoanalysts who are trying to improve their clinical practice and bring research evidence into their psychoanalytic practice. It is an invaluable contribution to psychoanalytic training of candidates, teachers, and students.
These two companion volumes provide a comprehensive review and
critical evaluation of the major DSM-III and DSM-III-R child
disorders. Their major goal is to provide diagnostic and assessment
guidelines that are based on scientific literature in specific
clinical domains. Each chapter contains a discussion of the
historical background of a particular diagnosis, definitional
issues, a critical but selective review of the literature
addressing the diagnosis in question, proposed changes in the
diagnostic criteria based on the available literature, and proposed
assessment models and methods based on the designated criteria.
Given the scientific bases for many of these discussions of
diagnostic criteria, these two volumes will serve professionals and
graduate students in a wide variety of fields: clinical child
psychology, child psychiatry, pediatrics, pediatric and school
psychology, special education, social work, and other child mental
health specialties.
Learn How to Infuse Leadership into Your Passion for Scientific Research Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women statisticians as leaders. By paying special attention to women's issues, this book provides a clear vision for the future of women as leaders in scientific and technical fields. It also shows how emerging and current leaders of both genders in many disciplines can expand their leadership potentials. Featuring contributions from leadership experts and statisticians at various career stages, this unique and insightful text: Examines leadership within the roles of statistician and data scientist from international and diverse perspectives Supplies a greater understanding of leadership within teams, research consulting, and project management Encourages reflection on leadership behaviors, promoting both natural and organizational leadership Identifies existing opportunities to foster creative outputs and develop strong leadership voices Includes real-life stories about overcoming barriers to leadership Leadership and Women in Statistics explains how to convert a passion for statistical science into visionary, ethical, and transformational leadership. Although the context focuses on statistics, the material applies to almost all fields of endeavor. This book is a valuable resource for those ready to consider leadership as an important element of their careers, and for those who are already leaders but want to deepen their perspectives on leadership. It makes an ideal text for group leadership training as well as for individual professional development.
This edited volume recognizes that resilience, and the most effective means of harnessing it, differ across individuals, contexts and time. Presenting chapters written by a range of scholars and clinicians, the book highlights effective evidence-based approaches to nurturing resilience, before, during and after a traumatic experience or event. By identifying distinct therapeutic tools which can be used effectively to meet the particular needs and limitations associated with different age groups, clients and types of experience, the volume addresses specific challenges and benefits of nurturing resilience and informs best practice as well as self-care. Approaches explored in the volume include the use of group activities to teach resilience to children, the role of sense-making for victims of sex trafficking, and the ways in which identity and spirituality can be used to help young and older adults in the face of pain and bereavement. Chapters also draw on the lived experiences of those who have engaged in a personal or guided journey towards finding new meaning and achieving posttraumatic growth following experiences of trauma. The rich variety of approaches offered here will be of interest to clinicians, counsellors, scholars and researchers involved in the practice and study of building resilience, as well as trauma studies, psychology and mental health more broadly. The personal and practice-based real-life stories in this volume will also resonate with individuals, family and community members facing adversity.
Early Psychological Research Contributions from Women of Color, Volume I, collects the dissertations of 20 cultural pioneers: women of color who were among the first to earn their doctorate degrees in psychology. Collectively, these chapters offer an important resource to diversify the history of psychology. This book is structured so that each chapter provides a biographical sketch of the woman, a summary of the dissertation, a reproducibility critique, a discussion about a modern alternative theory or methodological approach associated with the work (feminist theory, ethnopsychology, liberation psychology, etc.), and examples of how the dissertation can be used as instructional content in psychology and related disciplines offers suggestions for classroom use. The dissertations were completed as early as 1912 and as late as 1979 with the range reflecting differences in when women of certain groups could access education. The topics also range broadly across the breadth of the field of psychology, including physiological, cognitive, developmental, social, clinical, and more topics. The diversity of the work collected here will allow this book to be used to augment coursework either as a complete collection or as individual chapters. Instructors and students in undergraduate and graduate Research Methods courses will find this a crucial text in maintaining a true and inclusive historical perspective of psychological research. Additionally, due to the inclusion of research spanning the breadth of Psychology, this edited volume will appeal to scholars both across the discipline and in related fields, such as Women's Studies, Cognitive Science, Education, and Cultural Studies.
This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences. Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses, and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression, in the analysis of experimental data, and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R, a language that is widely used and freely available. The authors include R codes for all programs, and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web. Statistical Power Analysis helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship, as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains.
Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences. Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses, and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression, in the analysis of experimental data, and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R, a language that is widely used and freely available. The authors include R codes for all programs, and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web. Statistical Power Analysis helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship, as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains.
In the World Library of Psychologists series, international experts present career-long collections of what they judge to be their finest pieces - extracts from books, key articles, salient research findings, and their major practical theoretical contributions. In this fascinating collection, Professor Gordon Claridge charts the development of a model of mental health that blurs the line between madness and sanity, conditions such as schizophrenia and other forms of psychosis seen as dimensions of 'normal' personality and temperament rather than separate abnormalities. Working with, and influenced by, the late Hans Eysenck, Claridge is celebrated for evolving research on personality and psychological disorders into a revised view of the spectrum of psychotic traits. The concept of schizotypy, re-evaluated by Claridge, sees mental illness not as a pathology suffered by a few, but as the end of a continuum experienced by us all. Psychopathology and Personality Dimensions brings together some of the author's most influential publications on the topics of schizotypy and psychoticism, personality disorders, and the use of drug techniques to investigate normal and abnormal individual differences. Interspersed throughout with specially-written retrospectives by Professor Claridge, looking back at his work and contextualising where it sits in the wider literature, the collection illustrates a radical and influential model of mental illness that continues to resonate today. This book is an essential resource for all those engaged or interested in the field of personality and psychological disorders.
Devising tests that evaluate a nation's educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. Computerized Multistage Testing: Theory and Applications covers the methodologies, underlying technology, and implementation aspects of this type of test design. The book discusses current scientific perspectives and practical considerations for each step involved in setting up an MST program. It covers the history of MST, test design and implementation for various purposes, item pool development and maintenance, IRT-based and classical test theory-based methodologies for test assembly, routing and scoring, equating, test security, and existing software. It also explores current research, existing operational programs, and innovative future assessments using MST. Intended for psychologists, social scientists, and educational measurement scientists, this volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions. Winner of the 2016 AERA Award for Significant Contribution to Educational Measurement and Research Methodology The 2016 American Education Research Association (AERA) Div. D award committee for Significant Contributions to Educational Measurement and Research Methodology has recognized unanimously this collaborative work advancing the theory and applications of computerized MST. This annual award recognizes published research judged to represent a significant conceptual advancement in the theory and practice of educational measurement and/or educational research methodology. The 2016 award was made under the heading: Measurement, Psychometrics, and Assessment. This collective work, published in 2014 as an edited volume titled Computerized Multistage Testing: Theory and Applications, was cited by the committee both for the originality of the conceptual foundations presented in support of multistage testing and for arguing persuasively for its potential impact on the practice of educational measurement.
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages. The book provides broad, but unified, coverage, and the authors integrate the concepts and ideas shared across models and types of data, especially regarding conceptual links between discrete and continuous limited dependent variables. The authors argue that these dependent variables are, if anything, more common throughout the human sciences than the kind that suit linear regression. They cover special cases or extensions of models, estimation methods, model diagnostics, and, of course, software. They also discuss bounded continuous variables, boundary-inflated models, and methods for modeling heteroscedasticity. Wherever possible, the authors have illustrated concepts, models, and techniques with real or realistic datasets and demonstrations in R and Stata, and each chapter includes several exercises at the end. The illustrations and exercises help readers build conceptual understanding and fluency in using these techniques. At several points the authors bring together material that has been previously scattered across the literature in journal articles, software package documentation files, and blogs. These features help students learn to choose the appropriate models for their purpose.
* This self-help guide divulges new research on burnout and helps readers use it to identify and recover from burnout in themselves, loved ones, or clients. * Steadily gaining traction in visibility and severity, burnout became a global phenomenon with the COVID19 pandemic, reaching epidemic levels. * The only book of its kind, the book is extremely accessible, with new evidence-based tools and a plan for recovery based on their personal situation.
Primatology, Ethics and Trauma offers an analytical re-examination of the research conducted into the linguistic abilities of the Oklahoma chimpanzees, uncovering the historical reality of the research. It has been 50 years since the first language experiments on chimpanzees. Robert Ingersoll was one of the researchers from 1975 to 1983. He is well known for being one of the main carers and best friend of the chimpanzee, Nim Chimpsky, but there were other chimpanzees in the University of Oklahoma's Institute for Primate Studies, including Washoe, Moja, Kelly, Booee, and Onan, who were taught sign language in the quest to discover whether language is learned or innate in humans. Antonina Anna Scarna's expertise in language acquisition and neuroscience offers a vehicle for critical evaluation of those studies. Ingersoll and Scarna investigate how this research failed to address the emotional needs of the animals. Research into trauma has made scientific advances since those studies. It is time to consider the research from a different perspective, examining the neglect and cruelty that was inflicted on those animals in the name of psychological science. This book re-examines those cases, addressing directly the suffering and traumatic experiences endured by the captive chimpanzees, in particular the female chimpanzee, Washoe, and her resultant inability to be a competent mother. The book discusses the unethical nature of the studies in the context of recent research on trauma and offers a specific and direct psychological message, proposing to finally close the door on the language side of these chimpanzee studies. This book is a novel and groundbreaking account. It will be of interest to lay readers and academics alike. Those working as research, experimental, and clinical psychologists will find this book of interest, as will psychotherapists, linguists, anthropologists, historians of science and primatologists, as well as those involved in primate sanctuary and conservation.
Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models. |
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